Dr. Samuel Boateng, a Visiting Assistant Professor at the School of Information Technology, University of Cincinnati, USA, has emphasized the importance of utilizing Artificial Intelligence (AI) and big data to drive the development of future healthcare solutions.

Dr. Boateng highlighted how the integration of AI and big data analytics is revolutionizing healthcare by improving diagnostics, treatment planning, and disease management.

He explained that as healthcare systems face increasing pressure to enhance efficiency and accessibility, AI has emerged as a crucial tool to address these challenges.

Dr. Boateng, also an AI researcher, noted in a media interaction that his work in medical diagnostics—particularly the creation of SqueezeCapsNet, an advanced AI framework—positions him at the forefront of this transformative process. He explained that SqueezeCapsNet enhances diagnostic accuracy, enabling the early detection of diseases such as pneumonia, cancer, and COVID-19. This reduces diagnostic errors and expedites treatment decisions.

Dr. Boateng underscored how AI empowers healthcare professionals with data-driven insights, leading to improved patient outcomes and cost reduction. Beyond diagnostics, he noted that AI models are used for patient monitoring and predictive analytics, identifying high-risk individuals and facilitating preventive care.

Moreover, Dr. Boateng emphasized the profound economic impact of AI in healthcare, noting that it automates routine tasks, reduces operational costs, and allows medical staff to focus on critical care.

Additionally, he highlighted how AI technologies support telemedicine, extending quality healthcare to rural and underserved areas. This aligns with the United Nations Sustainable Development Goal 3, which focuses on Good Health and Well-being.

Dr. Boateng concluded that his groundbreaking research serves as a testament to the transformative potential of AI in healthcare, ensuring healthier communities and a more efficient medical infrastructure.